Publisher's Synopsis
Expert Systems is divided into two parts: the first part deals with the basic issues underlying the representation of knowledge, logical inference, and the management of uncertainty. In particular, chapters on reasoning under uncertainty present a wealth of information on the basic approaches which are in use today. These chapters give an insight into the techniques employing classical probability theory, fuzzy logic and the Dempster-Shafer theory.;The second part is an introduction to the CLIPS expert system programming language, which serves as a versatile tool for the development and implementation of expert systems. This provides a practical introduction to expert system programming that reinforces and clarifies the theoretical concepts developed in the first part.;This book should be of interest to degree and diploma students taking courses in expert systems.
